How will Torc use a combination of Nvidia chip architecture, including Drive AGX, Drive Orin, and DriveOS to develop a scalable physical AI compute system for autonomous vehicles?
How will Torc use a combination of Nvidia chip architecture, including Drive AGX, Drive Orin, and DriveOS to develop a scalable physical AI compute system for autonomous vehicles?
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Torc Robotics is collaborating with NVIDIA and Flex to develop a scalable physical AI compute system for autonomous trucks, aiming for a commercial launch in 2027.
The system utilizes NVIDIA’s DRIVE AGX platform, which includes the DRIVE Orin system-on-a-chip (SoC) and the DriveOS operating system. DRIVE AGX provides a scalable and energy-efficient AI computing platform designed to process the complex workloads required for autonomous driving. The DRIVE Orin SoC delivers high computational power, enabling advanced AI workloads and ensuring safety-critical redundancy. DriveOS serves as the software backbone, managing AI workloads efficiently and ensuring seamless integration across NVIDIA hardware components.
In collaboration with Flex, Torc is leveraging Flex’s Jupiter compute design platform and advanced manufacturing capabilities. This partnership aims to support Torc’s productization and scaled market entry in 2027.
By integrating these technologies, Torc is developing a scalable AI compute system that can adapt to different levels of autonomy, enhance safety, and meet the rigorous demands of real-world driving. This initiative positions Torc to play a significant role in the autonomous trucking industry, addressing the increasing demand for efficient and safe transportation solutions.